% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29033 % Primary Name: CENTER POINT % Record Type: TAVG % Country: United States % State: AR % Latitude: 34.03333 +/- 0.00833 % Longitude: -93.95000 +/- 0.00833 % Elevation (m): 143.00 +/- 0.05 % # of Months: 59 % % IDs: coop - 31306 % ncdc - 20000458 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 550c9613e50514d0ea2ee741fe882096 % Raw Data Hash: 254e284a9e7fbe1e2f07f19f71415706 % Adj Data Hash: e19507d15d0cb761b62646f56d346e9c % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 1930 1 NaN NaN NaN NaN NaN NaN 0.383 -3.927 1930 2 NaN NaN NaN NaN NaN NaN 10.838 4.096 1930 3 NaN NaN NaN NaN NaN NaN 9.676 -1.342 1930 4 NaN NaN NaN NaN NaN NaN 18.461 1.909 1930 5 NaN NaN NaN NaN NaN NaN 20.026 -0.865 1930 6 NaN NaN NaN NaN NaN NaN 24.700 -0.295 1930 7 NaN NaN NaN NaN NaN NaN 29.278 1.963 1930 8 NaN NaN NaN NaN NaN NaN 27.736 1.011 1930 9 NaN NaN NaN NaN NaN NaN 24.273 1.149 1930 10 NaN NaN NaN NaN NaN NaN 15.668 -1.199 1930 11 NaN NaN NaN NaN NaN NaN 10.119 -0.364 1930 12 NaN NaN NaN NaN NaN NaN 4.980 -1.072 1931 1 7.667 1.875 0 0 7.390 1.599 5.350 1.040 1931 2 11.111 2.888 0 0 10.835 2.612 8.928 2.187 1931 3 10.333 -2.166 0 0 10.057 -2.443 8.092 -2.926 1931 4 16.556 -1.478 0 0 16.279 -1.754 14.854 -1.698 1931 5 19.667 -2.706 0 0 19.390 -2.982 18.262 -2.629 1931 6 26.556 0.079 0 0 26.279 -0.197 25.472 0.477 1931 7 28.222 -0.574 0 0 27.946 -0.850 27.331 0.017 1931 8 26.000 -2.206 0 0 25.724 -2.482 24.673 -2.051 1931 9 26.889 2.283 0 0 26.612 2.006 25.717 2.593 1931 10 21.278 2.929 0 0 21.001 2.652 19.518 2.650 1931 11 15.111 3.146 0 0 14.835 2.869 14.003 3.519 1931 12 10.167 2.633 0 0 9.890 2.356 8.831 2.778 1932 1 9.333 3.542 0 0 9.057 3.266 7.201 2.891 1932 2 13.278 5.055 0 0 13.001 4.778 10.734 3.992 1932 3 10.889 -1.611 0 0 10.612 -1.887 8.687 -2.331 1932 4 19.000 0.966 0 0 18.724 0.690 17.690 1.138 1932 5 22.333 -0.039 0 0 22.057 -0.316 20.659 -0.232 1932 6 27.111 0.635 0 0 26.835 0.359 26.084 1.089 1932 7 29.556 0.760 0 0 29.279 0.483 27.953 0.639 1932 8 29.333 1.128 0 0 29.057 0.851 27.617 0.892 1932 9 25.444 0.838 0 0 25.168 0.562 23.428 0.304 1932 10 18.389 0.040 0 0 18.112 -0.237 15.894 -0.974 1932 11 9.889 -2.076 0 0 9.612 -2.353 8.152 -2.331 1932 12 6.111 -1.423 0 0 5.835 -1.699 4.396 -1.656 1933 1 10.556 4.764 0 0 10.279 4.488 8.856 4.546 1933 2 6.778 -1.445 0 0 6.501 -1.722 4.861 -1.881 1933 3 13.167 0.667 0 0 12.890 0.391 11.095 0.077 1933 4 17.111 -0.922 0 0 16.835 -1.199 16.134 -0.418 1933 5 23.556 1.183 0 0 23.279 0.907 21.728 0.837 1933 6 27.000 0.524 0 0 26.724 0.247 25.673 0.678 1933 7 28.667 -0.129 0 0 28.390 -0.406 27.500 0.186 1933 8 28.444 0.239 0 0 28.168 -0.038 26.203 -0.521 1933 9 27.389 2.783 0 0 27.112 2.506 25.741 2.616 1933 10 19.167 0.818 0 0 18.890 0.541 17.186 0.318 1933 11 13.889 1.924 0 0 13.612 1.647 11.863 1.379 1933 12 11.889 4.355 0 0 11.612 4.078 9.733 3.680 1934 1 8.889 3.098 0 0 8.612 2.821 6.599 2.290 1934 2 7.444 -0.779 0 0 7.168 -1.055 5.557 -1.185 1934 3 NaN NaN NaN NaN NaN NaN 9.638 -1.380 1934 4 NaN NaN NaN NaN NaN NaN 17.140 0.588 1934 5 NaN NaN NaN NaN NaN NaN 20.878 -0.013 1934 6 NaN NaN NaN NaN NaN NaN 27.431 2.437 1934 7 NaN NaN NaN NaN NaN NaN 29.755 2.441 1934 8 31.167 2.961 0 0 30.890 2.685 29.582 2.858 1934 9 23.444 -1.162 0 0 23.168 -1.438 21.888 -1.237 1934 10 21.111 2.762 0 0 20.835 2.486 19.248 2.381 1934 11 13.889 1.924 0 0 13.612 1.647 12.261 1.777 1934 12 6.778 -0.756 0 4 7.461 -0.073 5.577 -0.475 1935 1 8.056 2.264 0 0 8.738 2.947 6.374 2.064 1935 2 8.389 0.166 0 0 9.072 0.849 7.675 0.934 1935 3 15.778 3.278 0 0 16.461 3.961 14.553 3.535 1935 4 17.056 -0.978 0 0 17.738 -0.295 15.993 -0.560 1935 5 19.333 -3.039 0 0 20.016 -2.356 18.978 -1.913 1935 6 24.222 -2.254 0 0 24.905 -1.571 23.703 -1.292 1935 7 27.667 -1.129 0 0 28.350 -0.446 27.852 0.538 1935 8 28.444 0.239 0 0 29.127 0.922 27.789 1.065 1935 9 23.000 -1.606 0 0 23.683 -0.923 22.597 -0.527 1935 10 18.889 0.540 0 0 19.572 1.223 17.833 0.966 1935 11 11.000 -0.965 0 0 11.683 -0.282 10.000 -0.484 1935 12 4.389 -3.145 0 0 5.072 -2.462 3.532 -2.520 1936 1 4.167 -1.625 0 0 4.850 -0.942 2.992 -1.318 1936 2 4.444 -3.779 0 0 5.127 -3.096 2.654 -4.088 1936 3 14.667 2.167 0 0 15.350 2.850 13.609 2.591 1936 4 15.833 -2.200 0 0 16.516 -1.517 15.532 -1.020 1936 5 NaN NaN NaN NaN NaN NaN 21.245 0.354 1936 6 NaN NaN NaN NaN NaN NaN 26.934 1.939 1936 7 NaN NaN NaN NaN NaN NaN 28.130 0.815 1936 8 NaN NaN NaN NaN NaN NaN 29.446 2.722 1936 9 NaN NaN NaN NaN NaN NaN 26.201 3.076 1936 10 NaN NaN NaN NaN NaN NaN 15.966 -0.902 1936 11 NaN NaN NaN NaN NaN NaN 8.983 -1.500 1936 12 NaN NaN NaN NaN NaN NaN 7.502 1.449 1937 1 NaN NaN NaN NaN NaN NaN 4.630 0.320 1937 2 NaN NaN NaN NaN NaN NaN 6.672 -0.070 1937 3 NaN NaN NaN NaN NaN NaN 8.842 -2.176 1937 4 NaN NaN NaN NaN NaN NaN 16.494 -0.058